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dc.contributor.authorDíaz Pérez, Manuel
dc.contributor.authorCarreño Ortega, Ángel
dc.contributor.authorGómez Galán, Marta
dc.contributor.authorCallejón Ferre, Ángel Jesús
dc.date.accessioned2020-01-16T11:05:27Z
dc.date.available2020-01-16T11:05:27Z
dc.date.issued2018-09-09
dc.identifier.issn2073-4395
dc.identifier.urihttp://hdl.handle.net/10835/7371
dc.description.abstractThe purpose of this study was to demonstrate interest in applying simple and multiple logistic regression analyses to the marketability probability of commercial tomato (Solanum lycopersicum L.) cultivars when the tomatoes are harvested as loose fruit. A fruit’s firmness and commercial quality (softening or over-ripe fruit, cracking, cold damage, and rotting) were determined at 0, 7, 14, and 21 days of storage. The storage test simulated typical conditions from harvest to purchase-consumption by the consumer. The combined simple and multiple analyses of the primary continuous and categorical variables with the greatest influence on the commercial quality of postharvest fruit allowed for a more detailed understanding of the behavior of different tomato cultivars and identified the cultivars with greater marketability probability. The odds ratios allowed us to determine the increase or decrease in the marketability probability when we substituted one cultivar with a reference one. Thus, for example, the marketability probability was approximately 2.59 times greater for ‘Santyplum’ than for ‘Angelle’. Overall, of the studied cultivars, ‘Santyplum’, followed by ‘Dolchettini’, showed greater marketability probability than ‘Angelle’ and ‘Genio’. In conclusion, the logistic regression model is useful for studying and identifying tomato cultivars with good postharvest marketability characteristics.es_ES
dc.language.isoenes_ES
dc.publisherMDPIes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectcherry tomatoes_ES
dc.subjectcultivares_ES
dc.subjectqualityes_ES
dc.subjectdays of storagees_ES
dc.subjectogistic regressiones_ES
dc.subjectprobability of marketabilityes_ES
dc.titleMarketability Probability Study of Cherry Tomato Cultivars Based on Logistic Regression Modelses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://www.mdpi.com/2073-4395/8/9/176es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional